Researchers at the University of Tokyo Institute of Industrial Science created a machine-learning-based tool that can predict where radioactive emissions from nuclear power plants will disperse. After training using extensive data on previous weather patterns, the tool consistently achieved over 85% predictive accuracy, and up to 95% in winter when large and predictable weather systems dominate. This tool can aid immediate evacuation in the aftermath of disasters like those at Fukushima and Chernobyl.